Numerical Solution of Transient Thermal Spreading Resistance in Multilayered Flux Tubes
Bibliographic record
Abstract
The current study investigates transient thermal spreading within multilayered cylindrical flux tubes using a finite volume numerical model. It examines how thermal spreading occurs, taking into account the size of the heat source and the variations in thickness and thermophysical properties of each material layer. The study evaluates both isoflux and isothermal heat source conditions. Additionally, the findings from this numerical analysis are compared with an analytical approach for isoflux sources from a recent study by the authors. Results are presented for several coatings with varying thermal conductivities. The findings indicate that poor thermal conductors increase the thermal spreading resistance, while good thermal conductors reduce it. This paper provides a deeper understanding of thermal spreading in layered flux tubes and offers useful insights for improving thermal management in various technologies, especially where discrete heat sources are present or where thermal contact conductance occurs at an interface with an applied coating.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".